Delaram Golpayegani, Harshvardhan J. Pandit, Declan O'Sullivan, Dave Lewis · 2026 · arXiv
DOI: 10.48550/arXiv.2610.31380 · open-access PDF
Dengan risiko baru muncul lebih sering dari sebelumnya, tantangan utama adalah bagaimana mewakili, mendokumentasikan, dan mengkatalogkan risiko AI dengan cara yang efektif, interoperable, dan dapat dipertanyakan. Selain itu, persyaratan Akta AI Uni Eropa (EU) untuk sistem AI berisiko tinggi untuk mengelola dan mendokumentasikan risiko menciptakan kebutuhan untuk alat, metode, dan standar yang terbuka dan interoperable yang memfasilitasi manajemen risiko AI dalam lingkungan yang selalu berubah.
Machine translation (Meta M2M100); the English original follows.
As the use of AI, and consequently its harms, becomes more prevalent, the global discourse around AI has become increasingly risk-aware. With new risks emerging more frequently than ever, a key challenge is how to represent, document, and catalogue AI risks in an effective, interoperable, and queryable manner. Additionally, the European Union (EU) AI Act's requirements for "high-risk" AI systems to manage and document the risks creates the need for open and interoperable tools, methods, and standards that facilitate AI risk management in an ever-changing environment. In this paper, we present
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